In the previous post we have talked about how Data Science is critical element for Credit Risk.
With the invent of Generative AI, LLM models, faster GPUs, there are multiple different applications opening up in the area of Credit Risk.
I will cover the key ways in which Generative AI can be used in Credit Risk Domain. The Topics are:
- Data Augmentation
- Scenario Analysis & Stress Testing
- Anomaly Detection and Fraud Prevention
- Enhanced Credit Scoring Models
- Risk Assessment for New Products
- Personalized Credit Risk Management
Each topic is detailed out with the key problem to be solved, how Generative AI solves it, and key techniques used.
I hope you find this helpful. Follow along for more post on “Gen AI for All” topics.
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